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Shohag Barman

As seen in: Nature, MDPI
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Articles

Structure aware graph community cluster pruning for efficient neural network compression in Parkinson’s disease diagnosis

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By Shohag Barman, Jong-Myon Kim, M. M. Manjurul Islam
| Nature Verified
Abstract Deep neural networks in medical and edge environments often face computational and memory constraints, which necessitate effective model compression. Neural network pruning is a widely used solution, but conventional methods often rely on magnitude-based or random criteria that can remove entire functional groups of neurons and reduce model performance.
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LBF-MI: Limited Boolean Functions and Mutual Information to Infer a Gene Regulatory Network from Time-Series Gene Expression Data

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By Shohag Barman, Fahmid Al Farid, Hira Lal Gope, Sabbir Ahmad
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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LBF‐MI: Limited Boolean Functions and Mutual Information to Infer a Gene Regulatory Network from Time‐Series Gene Expression Data

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By Shohag Barman, Fahmid Al Farid, Sabbir Ahmad, Hira Lal Gope
| Preprints.org
Preprint Article Version 1 This version is not peer-reviewed Version 1 : Received: 29 October 2024 / Approved: 30 October 2024 / Online: 31 October 2024 (11:26:39 CET) Barman, S.; Farid, F. A.; Gope, H. L.; Hafiz, M. F. B.; Khan, N. A.; Ahmad, S.; Mansor, S. LBF‐MI: Limited Boolean Functions and Mutual Information to Infer a Gene Regulatory Network from Time‐Series Gene Expression Data. Preprints 2024, 2024102468. https://doi.org/10.20944/preprints202410.2468.v1 Barman, S.; Farid, F. A.; Gope, H.
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